Jeffrey Cohen, Pittsburgh US

Jeffrey Cohen, Pittsburgh, PA US

Patent application number

Description

Published

20080273199

Spectroscopic system and method for predicting outcome of disease - A system and method to predict the progression of disease of a test sample. A group of known biological samples is provided. Each known biological sample has an associated known outcome including a non-diseased sample or a diseased sample. A Raman data set is obtained for each known biological sample. Each Raman data set is analyzed to identify a diseased or non-diseased reference Raman data set depending on whether respective biological sample is the non-diseased sample or the diseased sample. A first database is generated where the first database contains reference Raman data sets for all diseased samples. A second database is generated where the second database contains reference Raman data sets for all non-diseased samples. A test Raman data set of a test biological sample is received, where the test biological sample has an unknown disease status. A diagnostic is provided as to whether the test sample is a non-diseased sample or a diseased sample. The diagnostic is obtained by comparing the test Raman data set against the reference Raman data sets in the first and the second databases using a chemometric technique. A prediction of the progression of disease may be then provided.

11-06-2008

20080319324

DISTINGUISHING BETWEEN INVASIVE DUCTAL CARCINOMA AND INVASIVE LOBULAR CARCINOMA USING RAMAN MOLECULAR IMAGING - A system and method to provide a diagnosis of the breast disease state of a test breast sample. A database containing a plurality of reference Raman data sets is provided where each reference Raman data set has an associated known breast sample and an associated known breast disease state. A test breast sample is irradiated with substantially monochromatic light to generate scattered photons resulting in a test Raman data set. The test Raman data set is compared to the plurality of reference Raman data sets using a chemometric technique. Based on the comparison, a diagnosis of a breast disease state of the test breast sample is provided. The breast disease state includes invasive ductal carcinoma or invasive lobular carcinoma disease state.

12-25-2008

20090002702

DISTINGUISHING BETWEEN RENAL ONCOCYTOMA AND CHROMOPHOBE RENAL CELL CARCINOMA USING RAMAN MOLECULAR IMAGING - A system and method to provide a diagnosis of the renal disease state of a test renal sample. A database containing a plurality of reference Raman data sets is provided where each reference Raman data set has an associated known renal sample and an associated known renal disease state. A test renal sample is irradiated with substantially monochromatic light to generate scattered photons resulting in a test Raman data set. The test Raman data set is compared to the plurality of reference Raman data sets using a chemometric technique. Based on the comparison, a diagnosis of a renal disease state of the test renal sample is provided. The renal disease state includes renal oncocytoma or chromophobe renal carcinoma disease state.

01-01-2009

20090033930

Spectral Imaging of Biofilms - A spectroscopic method and system to identify a biofilm of a microorganism. A sample containing a sample microorganism is irradiated with substantially monochromatic radiation. A Raman data set is obtained based on radiation scattered from the irradiated sample. A database is searched in accordance with the Raman data set in order to identify a known Raman data set from the database. The database contains a plurality of known Raman data sets where each known Raman data set is associated with a known sessile form of a corresponding known microorganism. A sessile form of the sample microorganism is identified based on the known Raman data set identified by the searching.

02-05-2009

20090040517

RAMAN DIFFERENCE SPECTRA BASED DISEASE CLASSIFICATION - A method to diagnosis a disease state of an unknown sample. A test Raman data set for an unknown sample is generated. A reference Raman database is provided where the database contains a plurality of reference Raman data sets and a plurality of reference Raman difference data sets. The reference Raman difference data set is generated by determining a difference between a first reference Raman data set and a second reference Raman data set. A first reference Raman data set is associated with first known sample and associated with one or more of: a first known disease state and a first known clinical outcome. A second reference Raman data set is associated with a second known sample and associated with one or more of: a second known disease state and a second known clinical outcome. A diagnosis is provided of whether the unknown sample has a first disease state or a second disease state by comparing the test Raman dataset to said plurality of reference Raman difference data sets in the reference Raman database using a chemometric technique.

02-12-2009

20090086203

Method for Correlating Spectroscopic Measurements with Digital Images of Contrast Enhanced Tissue - A system and method of correlating Raman measurements with digital images of a sample so to classify the sample's disease state. A spectroscopic data set is obtained for the sample positioned in the field of view of a spectroscopic device. With the sample removed from the field of view, the sample is treated with a contrast enhancing agent. The treated sample is repositioned in the spectroscopic device's field of view and a digital image of the treated sample is obtained. The spectroscopic data set is linked with the digital image by defining a transformation to map the image spatial coordinates of the digital image to the spectral spatial coordinates of the spectroscopic data. For the spectroscopic data set of the sample, the database is searched to identify a spectroscopic data set, of a known sample having well characterized pathology, which matches the sample's spectroscopic data set.

04-02-2009

20100034743

Raman Characterization of Transplant Tissue - A system and method for determining a disease state and clinical outcome of a sample. A sample is illuminated to produce Raman scattered photons, the Raman scattered photons are assessed to generate a Raman spectroscopic data set representative of the sample, wherein said Raman spectroscopic data set comprises at least one of: a Raman spectra of the sample and a spatially accurate wavelength resolved Raman image of the sample; the Raman spectroscopic data set is evaluated using a chemometric technique to classify the disease state of the sample as: acute, chronic, incipient, or none. In one embodiment, the chemontric technique is principle component analysis. In another embodiment, the sample is obtained prior to transplantation and analysis can determine the likelihood of rejection by a host.

02-11-2010

20100081127

System and Method of Chemical Imaging Using Pulsed Laser Excitation and Time-Gated Detection to Determine Tissue Margins During Surgery - System and method for differentiating tissue margins in a biological sample using pulsed laser excitation and time-gated detection. A region containing a biological tissue is irradiated with substantially monochromatic pulsed laser light to thereby produce Raman scattered photons. The Raman scattered photons are detected using time-gated detection to thereby obtain a Raman spectroscopic image from the irradiated region characteristic of either a neoplastic portion or a non-neoplastic portion of the region containing the biological tissue. A boundary between a neoplastic portion and a non-neoplastic portion is differentiated and the boundary location in the Raman spectroscopic image is displayed.

04-01-2010

20100225911

System and Method for Classifying a Disease State Using Representative Data Sets - System and method for determining a disease state of a sample. A sample is positioned in a field of view and a first spectroscopic data set is obtained. The positional information is stored and the sample is treated with a contrast enhancing agent. The sample is repositioned in the field of view and a digital image is obtained. The spectroscopic data is linked with the digital image and a database comprising representative spectroscopic data sets is searched to classify the disease state of the sample. The disclosure also provides for the step of obtaining a processed derivative image and searching a database comprising representative processed derivative images to classify a disease state of the sample.

09-09-2010

20100262378

Cytological Analysis by Raman Spectroscopic Imaging - A method for generating an image of a sample that is informative of the disease state of a cell in the sample. A sample including the cell is irradiated with monochromatic light. The Raman scattered light is assessed. A digital brightfield image of the Raman scattered light is generated and combined with the Raman scattered light emitted by the cell whereby the Raman scattered light is informative of the disease state of the cell in the sample. The method can also be used to determine the metabolic activity of the cell, the inflammatory status of the cell and/or the infected status of the cell in the sample.

10-14-2010

20100280762

System and Method for Analyzing Biological Samples Using Raman Molecular Imaging - A system and method for determining at least one of: a disease state, a metabolic state, a clinical outcome, and a disease progression of a test renal or prostate sample. A test Raman data set is obtained from the sample wherein said test Raman data set may comprise at least one of a plurality of Raman spectra and a plurality of spatially accurate wavelength resolved Raman images. The test Raman data set is compared to a plurality of reference Raman data sets using a chemometric technique. For analysis of renal samples, each of these reference Raman data sets may have an associated known renal sample and an associated known metabolic state, clinical outcome, and/or disease progression. For analysis of prostate samples, each of these reference Raman data sets may have an associated known prostate sample and an associated known disease state, metabolic state, clinical outcome, and/or disease progression.

11-04-2010

20100309464

Raman Chemical Imaging of Threat Agents Using Pulsed Laser Excitation and Time-Gated Detection - The disclosure provides for a system and method for detecting a threat agent. A sample is illuminated to produce photons Raman scattered and emitted by the sample. The Raman scattered photons are collected using time-gated detection without collecting the emitted photons. A Raman spectroscopic data set is generated from said Raman scattered photons wherein said Raman spectroscopic data comprises at least one of a Raman spectrum and a Raman chemical image. The Raman spectroscopic data is assessed to thereby determine the presence or absence of a threat agent in the sample. The sample may be in a target area. The sample may be illuminated using a pulsed laser or an intensity modulated laser. The illumination source may be synchronized with a gating element that enables time-gated detection.

12-09-2010

20120062873

SYSTEM AND METHOD FOR DIAGNOSING THE DISEASE STATE OF BREAST TISSUE USING SWIR - A system and method to provide a diagnosis of the breast disease state of a test breast sample. A database containing a plurality of reference SWIR data sets is provided where each reference SWIR data set has an associated known breast sample and an associated known breast disease state. A test breast sample is irradiated with substantially monochromatic light to generate scattered photons resulting in a test SWIR data set. The test SWIR data set is compared to the plurality of reference SWIR data sets using a chemometric technique. Based on the comparison, a diagnosis of a breast disease state of the test breast sample is provided. The breast disease state includes invasive ductal carcinoma or invasive lobular carcinoma disease state.

03-15-2012

20120078524

System and method for diagnosis tissue samples using fluorescence and raman techniques - A system and method for determining a diagnosis of a test biological sample. A system comprising a first illumination source to illuminate a sample, a first detector for generating a fluorescence data set of said sample, a means for determining a region of interest, a second illumination source to illuminate said region of interest, a second detector to generate a Raman data set of said region of interest, and a means for determining a diagnosis of said sample. A method comprising illuminating a sample, generating a fluorescence data set of said sample, and assessing the fluorescence data set to identify a region of interest, illuminating a region of interest, and generating Raman data set. This Raman data set may be assessed to determine a diagnosis of the sample. A diagnosis may include a metabolic state, a clinical outcome, a disease progression, a disease state, and combinations thereof.

03-29-2012

20120150028

System and Method of Chemical Imaging Using Puled Laser Excitation and Time-Gated Detection to Determine Tissue Margins During Surgery - System and method for differentiating tissue margins in a biological sample using pulsed laser excitation and time-gated detection. A region containing a biological tissue is irradiated with substantially monochromatic pulsed laser light to thereby produce Raman scattered photons. The Raman scattered photons are detected using time-gated detection to thereby obtain a Raman spectroscopic image from the irradiated region characteristic of either a neoplastic portion or a non-neoplastic portion of the region containing the biological tissue. A boundary between a neoplastic portion and a non-neoplastic portion is differentiated and the boundary location in the Raman spectroscopic image is displayed.

06-14-2012

20120252058

System and Method for the Assessment of Biological Particles in Exhaled Air - A system and method for the deposition and analysis of a sample comprising exhaled particles. The sample may be deposited on a substrate and regions of interest comprising exhaled particles may be targeted using autofluorescence. Regions of interest comprising exhaled particles may then be interrogated to thereby generate a spectroscopic data set. This spectroscopic data set may be compared to a reference data set associated with at least one of the following: a known disease state, a known metabolic state, a known inflammatory state, a known immunologic state, a known infectious state, and combinations thereof.

10-04-2012

20120310538

System and Method for Diagnosing a Biological Sample - The present disclosure provides for a system and method for analyzing biological samples to thereby provide a diagnosis. A system may comprise an illumination source, a filter and a detector configured to generate at least one of: a visible data set representative of a biological sample, a SWIR data set representative of a biological sample, and combinations thereof. A method may comprise illuminating a biological sample to generate a plurality of photons, filtering a said plurality of interacted photons, detecting

12-06-2012

20130003044

System and Method for Raman Based Chronic Exposure Detection - The present disclosure provides for a system and method for assessing chronic exposure of a biological sample, such as a bodily fluid, to an analyte of interest. A biological sample may be illuminated to thereby generate a one or more pluralities of interacted photons. These interacted photons may be detected to thereby generate one or more spectroscopic data sets representative of a biological sample. Spectroscopic data sets generated may be compared to at least one reference data set. Each reference data set may be associated with a known exposure to a known analyte. The present disclosure contemplates that the system and method disclosed herein may be used to analyze exposure of biological samples to at least one analyte over time. Data sets may be obtained at various time intervals to assess changes in a molecular composition as a result of chronic exposure to an analyte.

01-03-2013

20130342683

System and Method for Detecting Environmental Conditions Using Hyperspectral Imaging - A system and method for detecting environmental conditions using SWIR hyperspectral imaging. A method may comprise collecting a plurality of interacted photons from at least one location and passing the interacted photons through a tunable filter, filtering the interacted photons into a plurality of wavelength bands. These filtered photons may be detected and analyzed to determine the presence or absence of an environmental condition. A system may comprise at least one collection lens configured to collect at least one plurality of interacted photons from at least one location and a tunable filter for filtering the interacted photons into a plurality of wavelength bands. The system may further comprise a detector configured to detect the filtered photons and generate at least one hyperspectral image representative of the location. The system may further comprise a processor for analyzing the hyperspectral data set and determining the presence or absence of an environmental condition.

12-26-2013

20140016116

System and method for raman-based chronic exposure detection - The present disclosure provides for a system and method for assessing chronic exposure of a biological sample, such as a bodily fluid, to an analyte of interest. A biological sample may be illuminated to thereby generate a one or more pluralities of interacted photons. These interacted photons may be detected to thereby generate one or more spectroscopic data sets representative of a biological sample. Spectroscopic data sets generated may be compared to at least one reference data set. Each reference data set may be associated with a known exposure to a known analyte. The present disclosure contemplates that the system and method disclosed herein may be used to analyze exposure of biological samples to at least one analyte over time. Data sets may be obtained at various time intervals to assess changes in a molecular composition as a result of chronic exposure to an analyte.

01-16-2014

20140093147

System and method for gross anatomic pathology using hyperspectral imaging - A method for analyzing organ samples using hyperspectral imaging comprising illuminating an organ sample to generate interacted photons, collecting the interacted photons and passing the interacted photons through a tunable filter. The filtered interacted photons are detected to generate a hyperspectral image. A brightfield image is generated and associated with the hyperspectral image. Spectra from locations of interest are extracted and analyzed to assess a characteristic of the organ sample. A system may comprise an illumination source to illuminate an organ sample and generate interacted photons, a collection optics for collecting the interacted photons and a tunable filter to filter the interacted photons. A detector is configured to detect the filtered photons and generate at least one hyperspectral image. The detector may also be configured to generate at least one brightfield image representative of the organ sample.